Abstract
Semantic analysis microblog data is a challenging, emerging research area. Unlike news text, microblogs pose several new challenges, due to their short, noisy, contextualized and real-time nature. In this paper, we investigate how to link entities in microblog posts with knowledge base and adopt a cascade linking approach. In particular, we first use a mention expansion model to identify all possible entities in the knowledge base for a mention based on a variety of sources. Then we link the mentions with the corresponding entities in the knowledge base by collectively considering lexical matching, popularity probability and textual similarity.
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References
Meij, E., Weerkamp, W., Rijke, M.D.: Adding Semantics to Microblog Posts. In: Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, pp. 563–572 (2012)
Guo, S., Chang, M.W., Kıcıman, E.: To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. In: Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2013)
Derczynski, L., Maynard, D., Aswani, N., Bontcheva, K.: Microblog-Genre Noise and Impact on Semantic Annotation Accuracy. In: Proceedings of the 24th ACM Conference on Hypertext and Social Media, pp. 21–30 (2013)
Cassidy, T., Ji, H., Ratinov, L., Zubiaga, A., Huang, H.Z.: Analysis and Enhancement of Wikification for Microblogs with Context Expansion. In: Proceedings of 24th International Conference on Computational Linguistics, pp. 441–456 (2012)
Bontcheva, K., Rout, D.: Making Sense of Social Media Streams through Semantics: a Survey. Semantic Web Journal (2012)
Kiryakov, A., Popov, B., Ognyanoff, D., Manov, D., Kirilov, A., Goranov, M.: Semantic Annotation, Indexing and Retrieval. Journal of Web Semantics 1(2), 49–79 (2004)
Mihalcea, R., Csomai, A.: Wikify! Linking Documents to Encyclopedic Knowledge. In: Proceedings of the 17th ACM Conference on Information and Knowledge Management, pp. 233–242 (2007)
Milne, D., Witten, I.H.: Learning to Link with Wikipedia. In: Proceedings of the 17th ACM Conference on Information and Knowledge Management, pp. 509–518 (2008)
Ferragina, P., Scaiella, U.: TAGME: On-the-fly Annotation of Short Text Fragments. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, pp. 1625–1628 (2010)
Mendes, P.N., Jakob, M., García-Silva, A., Bizer, C.: DBpedia Spotlight: Shedding Light on the Web of Documents. In: Proceedings of the 7th International Conference on Semantic Systems, pp. 1–8 (2011)
Ratinov, L., Roth, D.: Design Challenges and Misconceptions in Named Entity Recognition. In: Proceedings of the Thirteenth Conference on Computational Natural Language Learning, pp. 147–155 (2009)
Yosef, M.A., Hoffart, J., Bordino, I., Spaniol, M., Weikum, G.: AIDA: an Online Tool for Accurate Disambiguation of Named Entities in Text and Tables. In: Proceedings of the PVLDB 2011, pp. 1450–1453 (2011)
Varma, V., Bharat, V., Kovelamudi, S., Bysani, P.: GSK, S., Kumar, N. K., Reddy, K., Kumar, K., Maganti, N.: IIIT Hyderabad at TAC 2009. In: Proceedings of Text Analysis Conference, TAC (2009)
Suchanek, F.M., Kasneci, G., Weikum, G.: YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia. In: Proceedings of the International World Wide Web Conference, pp. 697–706 (2007)
Han, X.P., Sun, L.: A Generative Entity-Mention Model for Linking Entities with Knowledge Base. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, vol. 1, pp. 945–954 (2011)
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Miao, Q., Lu, H., Zhang, S., Meng, Y. (2013). Simple Yet Effective Method for Entity Linking in Microblog-Genre Text. In: Zhou, G., Li, J., Zhao, D., Feng, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2013. Communications in Computer and Information Science, vol 400. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41644-6_44
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DOI: https://doi.org/10.1007/978-3-642-41644-6_44
Publisher Name: Springer, Berlin, Heidelberg
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